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Description

IriCoreLite serves as an advanced iris recognition library that equips developers and system integrators with a robust array of application programming interfaces and functionalities to create applications centered around iris recognition technology. Tailored for extensive iris identification implementations on both PCs and enterprise systems, it operates seamlessly with IriTech's iris scanners. The library features precise iris segmentation techniques for feature extraction that utilize variable multi-sector analysis alongside non-linear segmentation, a sophisticated image enhancement tool to adapt to diverse lighting conditions and obstacles, and an efficient occlusion detection system designed to filter out eyelids and eyelashes. Its swift and precise matching algorithm is optimized for handling large databases, while a comprehensive image quality assessment feature guarantees dependable input data. Furthermore, the algorithms within IriCoreLite have undergone stringent evaluations during NIST testing and have consistently demonstrated their effectiveness across various public databases, showcasing their reliability and performance in real-world applications. This makes IriCoreLite a solid choice for developers seeking to implement cutting-edge iris recognition capabilities in their projects.

Description

Created by experts at Oz Forensics, the biometric module utilizes cutting-edge artificial intelligence techniques and undergoes regular enhancements through ongoing data updates. In 2020, their face recognition algorithm recorded exceptional accuracy rates on the LFW dataset during testing at the University of Massachusetts, showcasing its effectiveness. The Oz Biometry module provides rapid identification capabilities, achieving speeds of under one second with an impressive accuracy of 99.87%. With the advent of front-facing cameras on smartphones since the early 2010s, facial biometrics have emerged as a convenient method for user authentication. This technology can be employed not only during the registration phase but also for searching and verifying identities against extensive biometric databases. Additionally, facial biometrics play a crucial role in the KYC (Know Your Customer) process, where selfie images are matched with document photos to verify user identity and check their status against biometric “black” and “white” lists. This integration of facial recognition into daily security measures enhances both user experience and safety.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Iritech, Inc.

Founded

2000

Country

United States

Website

iritech.com/iricorelite/

Vendor Details

Company Name

Oz Forensics

Founded

2017

Country

United Arab Emirates

Website

ozforensics.com

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